A Novel Statistical Texture Feature for SAR Building Damage Assessment in Different Polarization Modes

A Novel Statistical Texture Feature for SAR Building Damage Assessment in Different Polarization Modes

Texture features are important characteristics in distinguishing collapsed buildings and intact buildings. However, texture features currently used in synthetic aperture radar (SAR) building damage assessment are extracted following the methods of optical images directly, which do not consider the s...

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Bibliographic Details
Main Authors: Qihao Chen, Hui Yang, Linlin Li, Xiuguo Liu
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Building damage assessment
G<inline-formula xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"> <tex-math notation="LaTeX">$^{0}$</tex-math> </inline-formula> distribution
synthetic aperture radar (SAR)
texture feature
Online Access:https://ieeexplore.ieee.org/document/8930947/

Internet

https://ieeexplore.ieee.org/document/8930947/

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